de Vos Ivo I, Rosenstand Charlotte, Hogenhout Renée, van den Bergh Roderick C N, Remmers Sebastiaan, Roobol Monique J
Department of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Department of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Eur Urol Oncol. 2025 Jun;8(3):747-754. doi: 10.1016/j.euo.2024.11.004. Epub 2024 Nov 26.
Tailored treatment for prostate cancer (PCa) requires accurate risk stratification. This study examines the effectiveness of the European Association of Urology (EAU) classification in predicting long-term PCa-specific mortality (PCSM) and assesses whether an alternative system can improve the identification of patients with low-risk disease.
This study included two cohorts of patients with localized PCa: one with screen-detected PCa (n = 1563; S-cohort) and the other with clinically detected PCa (n = 755; C-cohort), all from a population-based, randomized screening study, who underwent primary radical prostatectomy or radiation monotherapy. Patients were stratified according to the traditional EAU risk classification and an alternative risk classification where low-risk disease is adjusted according to contemporary active surveillance (AS) eligibility criteria. The 15-yr time-dependent area under the curve (AUC) and the cumulative incidence of PCSM at 15 yr after diagnosis were assessed for each risk classification and cohort.
With a median follow-up of 20 yr in the S-cohort and 12 yr in the C-cohort, the EAU classification demonstrated 15-yr AUCs of 0.76 (95% confidence interval [CI]: 0.71-0.80) and 0.72 (95% CI: 0.65-0.79), respectively, for predicting PCSM. The alternative classification showed a 15-yr AUC of 0.74 (95% CI: 0.69-0.79) in the S-cohort and 0.75 (95% CI: 0.68-0.81) in the C-cohort. The alternative classification identified 45% more men having a low risk in the S-cohort and 83% more in the C-cohort than the EAU classification, with no statistically significant increase in the 15-yr PCSM incidence (S-cohort subhazard ratio: 1.33 [95% CI: 0.66-2.68]; C-cohort subhazard ratio: 0.99 [95% CI: 0.29-3.38]).
The EAU classification predicts PCSM accurately, but an alternative classification, adjusted for AS eligibility, identifies substantially more men as having a low risk. This could enhance AS acceptance and utilization in clinical practice, reducing overtreatment.
This study shows that while a commonly used pretreatment risk classification for prostate cancer predict disease prognosis accurately, an alternative system based on active surveillance eligibility criteria identifies many more men as having a low risk. Adopting this classification could enhance the acceptance and use of active surveillance, reducing unnecessary treatments.
前列腺癌(PCa)的个体化治疗需要准确的风险分层。本研究探讨欧洲泌尿外科协会(EAU)分类在预测PCa特异性长期死亡率(PCSM)方面的有效性,并评估替代系统是否能改进对低风险疾病患者的识别。
本研究纳入两组局限性PCa患者:一组为筛查发现的PCa患者(n = 1563;S队列),另一组为临床诊断的PCa患者(n = 755;C队列),所有患者均来自一项基于人群的随机筛查研究,他们接受了根治性前列腺切除术或放射单药治疗。根据传统的EAU风险分类和一种替代风险分类对患者进行分层,在替代风险分类中,低风险疾病根据当代主动监测(AS)的入选标准进行调整。评估每种风险分类和队列在诊断后15年的时间依赖性曲线下面积(AUC)以及15年时PCSM的累积发病率。
S队列的中位随访时间为20年,C队列的中位随访时间为12年,EAU分类预测PCSM的15年AUC分别为0.76(95%置信区间[CI]:0.71 - 0.80)和0.72(95%CI:0.65 - 0.79)。替代分类在S队列中的15年AUC为0.74(95%CI:0.69 - 0.79),在C队列中为0.75(95%CI:0.68 - 0.81)。与EAU分类相比,替代分类在S队列中识别出的低风险男性多45%,在C队列中多83%,15年PCSM发病率无统计学显著增加(S队列亚风险比:1.33[95%CI:0.66 - 2.68];C队列亚风险比:0.99[95%CI:0.29 - 3.38])。
EAU分类能准确预测PCSM,但根据AS入选标准调整的替代分类识别出更多低风险男性。这可提高临床实践中对AS的接受度和利用率,减少过度治疗。
本研究表明,虽然常用的前列腺癌治疗前风险分类能准确预测疾病预后,但基于主动监测入选标准的替代系统识别出更多低风险男性。采用这种分类可提高对主动监测的接受度和使用率,减少不必要的治疗。